Optimal Robust Scheduling of Renewable Energy-Based Smart Homes Using Information-Gap Decision Theory (IGDT)

  • Morteza Nazari-Heris
  • Parinaz AliasghariEmail author
  • Behnam Mohammadi-ivatloo
  • Mehdi Abapour


This chapter aims to study energy management of a renewable energy-based smart home, which contains of photovoltaic (PV) system for supplying a ratio of electrical demand of the considered home. Moreover, the plug-in electric vehicles (PEVs) are considered in obtaining optimal robust scheduling of the studied smart home. The main objective is minimizing the consumer’s bill as a smart home energy management scheduling problem. The controllable appliances are considered including washing machine, water heater, fridge, and electric vehicle. The robust self-scheduling of PV panel installed in the smart home is formulated, and the best suited set point of all suppliers is obtained. Information-gap decision theory (IGDT) is implemented in order to handle the uncertain PV power generation. The optimal robust scheduling of different appliance categories is provided considering economic optimal dispatch of the energy sources.


Smart home Robust scheduling Information-gap decision theory Electric vehicles Photovoltaic (PV) system Uncertainty 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Morteza Nazari-Heris
    • 1
  • Parinaz Aliasghari
    • 1
    Email author
  • Behnam Mohammadi-ivatloo
    • 1
  • Mehdi Abapour
    • 1
  1. 1.Faculty of Electrical and Computer EngineeringUniversity of TabrizTabrizIran

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